The graph represents a network of 5,444 Twitter users whose tweets in the requested range contained "helenbevan", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 08 October 2022 at 01:57 UTC.
The requested start date was Saturday, 08 October 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 36-day, 0-hour, 24-minute period from Tuesday, 30 August 2022 at 20:45 UTC to Wednesday, 05 October 2022 at 21:10 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 5444
Unique Edges : 6280
Edges With Duplicates : 14518
Total Edges : 20798
Number of Edge Types : 5
Mentions : 5945
Retweet : 5362
MentionsInRetweet : 7705
Replies to : 1300
Tweet : 486
Self-Loops : 499
Reciprocated Vertex Pair Ratio : 0.0549383962835791
Reciprocated Edge Ratio : 0.104154700363776
Connected Components : 281
Single-Vertex Connected Components : 192
Maximum Vertices in a Connected Component : 4973
Maximum Edges in a Connected Component : 20269
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.621964
Graph Density : 0.000352527962291185
Modularity : 0.357715
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,444 Twitter users whose tweets in the requested range contained "helenbevan", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 08 October 2022 at 01:57 UTC.
The requested start date was Saturday, 08 October 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 36-day, 0-hour, 24-minute period from Tuesday, 30 August 2022 at 20:45 UTC to Wednesday, 05 October 2022 at 21:10 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : helenbevan
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[750] psychological,safety [436] safety,safety [401] helenbevan,psychological [400] north,star [399] safety,same [399] same,comfort [399] protect,team [397] comfort,leader's [397] leader's,role [397] role,protect Top Word Pairs in Tweet in G1:
[527] psychological,safety [353] safety,safety [327] protect,team [326] safety,same [326] same,comfort [326] comfort,leader's [326] leader's,role [326] role,protect [326] team,discomfort [325] helenbevan,psychological Top Word Pairs in Tweet in G2:
[212] helenbevan,alannobbs [110] such,sad [87] sad,news [78] alan,nobbs [78] alannobbs,alan [76] alan,one [76] one,best [75] helenbevan,such [75] sad,times [75] times,heard Top Word Pairs in Tweet in G3:
[133] learning,improvement [120] improvement,community [119] north,east [119] east,north [119] north,cumbria [115] meeting,north [115] cumbria,learning [110] 1st,meeting [75] helenbevan,today's [75] today's,1st Top Word Pairs in Tweet in G4:
[4] psychological,safety [4] sad,hear [3] very,true [3] very,sad [3] hear,news [3] news,alan [3] sad,news [3] great,article [2] block,time [2] made,such Top Word Pairs in Tweet in G5:
[79] psychological,safety [44] helenbevan,fantastic [44] fantastic,podcast [44] podcast,amycedmondson [44] amycedmondson,psychological [44] safety,leaders [44] leaders,clinicians [44] clinicians,team [44] team,members [44] members,operating Top Word Pairs in Tweet in G6:
[17] helenbevan,jesselynstoner [13] peteneuwirth,allanjamesmoor1 [13] allanjamesmoor1,acornoaktribe [10] bigredruckus,jesselynstoner [9] helenbevan,theasnow [8] acornoaktribe,fstuvek [8] businessconfid,r_rafailovamcmi [8] helenbevan,ways [8] ways,influence [8] influence,without Top Word Pairs in Tweet in G7:
[28] helenbevan,voinonen [15] ft,abhijitbhaduri [14] middle,managers [14] helenbevan,ft [11] helenbevan,m_konkel [10] helenbevan,mid [10] mid,level [10] level,leaders [10] leaders,middle [10] managers,people Top Word Pairs in Tweet in G8:
[7] pplsassembly,thepeopleshubuk [7] thepeopleshubuk,angelaparfitt1 [7] angelaparfitt1,cqcprof [5] aaroncumminsnhs,healthwatche [5] healthwatche,nickrobcoach [5] nickrobcoach,drandyknox [5] drandyknox,autism [5] autism,paddymcguinness [5] paddymcguinness,fabnhsstuff [5] fabnhsstuff,janetmiller53 Top Word Pairs in Tweet in G9:
[43] helenbevan,claregerada [42] claregerada,roysocmed [36] medicalwomenuk,helenbevan [29] roysocmed,parthaskar [29] parthaskar,scarlettmcnally [25] apksachar,medicalwomenuk [24] scarlettmcnally,adave_nhs [24] adave_nhs,raj_psyc [21] sorry,apksachar [20] apksachar,panel Top Word Pairs in Tweet in G10:
[7] purdy_eve,socraticem [6] aspirelearngrow,helenbevan [5] helenbevan,buurtzorgbi [5] ergopropterdoc,hypoxicchicken [5] hypoxicchicken,purdy_eve [5] socraticem,lizcrowe2 [5] lizcrowe2,inject_orange [4] attached,less [4] less,heard [4] heard,point Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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